Association between perceived life chaos and medication adherence in a postmyocardial infarction population.

Abstract

Background

The benefits of medication adherence to control cardiovascular disease (CVD) are well defined, yet multiple studies have identified poor adherence. The influence of life chaos on medication adherence is unknown. Because this is a novel application of an instrument, our preliminary objective was to understand patient factors associated with chaos. The main objective was to evaluate the extent to which an instrument designed to measure life chaos is associated with CVD-medication nonadherence.

Methods and results

Using baseline data from an ongoing randomized trial to improve postmyocardial infarction (MI) management, multivariable logistic regression identified the association between life chaos and CVD-medication nonadherence. Patients had hypertension and a myocardial infarction in the past 3 years (n=406). Nearly 43% reported CVD-medication nonadherence in the past month. In simple linear regression, the following were associated with higher life chaos: medication nonadherence (β=1.86; 95% confidence interval [CI], 0.96-2.76), female sex (β=1.22; 95% CI [0.22-2.24]), minority race (β=1.72; 95% CI [0.78-2.66]), having less than high school education (β=2.05; 95% CI [0.71-3.39]), low health literacy (β=2.06; 95% CI [0.86-3.26]), and inadequate financial status (β=1.93; 95% CI [0.87-3.00]). Being married (β=-2.09, 95% CI [-3.03 to -1.15]) was associated with lower life chaos. As chaos quartile increased, patients exhibited more nonadherence. In logistic regression, adjusting for sex, race, marital status, employment, education, health literacy, and financial status, a 1-unit life chaos increase was associated with a 7% increase (odds ratio, 1.07; 95% CI [1.02-1.12]) in odds of reporting medication nonadherence.

Conclusions

Our results suggest that life chaos may be an important determinant of medication adherence. Life chaos screenings could identify those at risk for nonadherence.

Clinical trial registration

URL: http://www.clinicaltrials.gov. Unique identifier: NCT000901277.

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1161/circoutcomes.113.000435

Publication Info

Zullig, Leah L, Ryan J Shaw, Matthew J Crowley, Jennifer Lindquist, Steven C Grambow, Eric Peterson, Bimal R Shah, Hayden B Bosworth, et al. (2013). Association between perceived life chaos and medication adherence in a postmyocardial infarction population. Circulation. Cardiovascular quality and outcomes, 6(6). pp. 619–625. 10.1161/circoutcomes.113.000435 Retrieved from https://hdl.handle.net/10161/30029.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.

Scholars@Duke

Crowley

Matthew Janik Crowley

Associate Professor of Medicine

Diabetes, Hypertension, Health Services Research

Grambow

Steven C. Grambow

Associate Professor of Biostatistics & Bioinformatics

I am an academic statistician with a focus on educational leadership and administration, teaching, mentoring, and collaborative clinical research. I serve as the director of multiple education programs, both formal degree programs and certificate-based training programs. I also provide administrative oversight of multiple graduate degree programs and educational initiatives focusing on clinical and translational science workforce development at the student, staff, and faculty levels.

I have many years of experience with in-person and online teaching across a variety of teaching venues (formal degree programs, domestic and international certificate-based training programs, faculty development seminars, residency/fellowship training programs) and health sciences audiences (medical students, residents, fellows, faculty, and other health professionals), including more than 21 years as a statistics course director in the Duke Clinical Research Training Program.

As a collaborative scientist I have experience with a broad range of clinical research areas and clinical research designs, including observational studies, epidemiology investigations, and randomized clinical trials, including those utilizing web, mobile, and telemedicine-based health behavior interventions. I have collaborated on projects spanning a broad range of clinical research areas, including amyotrophic lateral sclerosis (ALS), post-traumatic stress disorder (PTSD), Prader-Willi syndrome (PWS), prostate cancer, quality of colorectal cancer care, osteoarthritis, lifestyle modification through weight loss, CVD risk reduction through hypertension control, smoking cessation, and substance abuse recovery.

Shah

Bimal Ramesh Shah

Assistant Consulting Professor in the Department of Medicine

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